---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter6_sftsd2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# collapse_gemma-2-9b_hs2_replace_iter6_sftsd2

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5665
- Num Input Tokens Seen: 4530600

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 4
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.2335          | 0                 |
| 1.3097        | 0.0511 | 5    | 1.0698          | 229532            |
| 0.4786        | 0.1021 | 10   | 1.2058          | 462632            |
| 0.1486        | 0.1532 | 15   | 1.3852          | 694572            |
| 0.0712        | 0.2043 | 20   | 1.4796          | 924920            |
| 0.0308        | 0.2553 | 25   | 1.6805          | 1159600           |
| 0.0246        | 0.3064 | 30   | 1.6485          | 1394384           |
| 0.0249        | 0.3575 | 35   | 1.7296          | 1625220           |
| 0.0245        | 0.4086 | 40   | 1.7449          | 1861604           |
| 0.0279        | 0.4596 | 45   | 1.6980          | 2092352           |
| 0.0308        | 0.5107 | 50   | 1.5217          | 2328876           |
| 0.0227        | 0.5618 | 55   | 1.4251          | 2558408           |
| 0.0198        | 0.6128 | 60   | 1.4416          | 2786776           |
| 0.0244        | 0.6639 | 65   | 1.4659          | 3022844           |
| 0.0223        | 0.7150 | 70   | 1.4740          | 3252704           |
| 0.0217        | 0.7660 | 75   | 1.4962          | 3486108           |
| 0.0223        | 0.8171 | 80   | 1.5131          | 3722364           |
| 0.0211        | 0.8682 | 85   | 1.5303          | 3959596           |
| 0.0202        | 0.9192 | 90   | 1.5489          | 4199296           |
| 0.0213        | 0.9703 | 95   | 1.5624          | 4434360           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1